Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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review the Cause and Effect Diagram‚ better known as the Fishbone Chart‚ why and when you would use this method‚ and examples of real experiences with this diagram. Fishbone Chart A Japanese quality control statistician‚ Dr. Kaoru Ishikawa‚ invented the fishbone diagram. It may be referred to as the cause and effect‚ fishbone‚ or Ishikawa diagram. It is an analysis tool that provides a way to look at effects and causes that contribute to those effects. This diagram has been used in Japan‚ to
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for67757_fm.fm Page i Saturday‚ January 7‚ 2006 12:00 AM DATA COMMUNICATIONS AND NETWORKING for67757_fm.fm Page ii Saturday‚ January 7‚ 2006 12:00 AM McGraw-Hill Forouzan Networking Series Titles by Behrouz A. Forouzan: Data Communications and Networking TCP/IP Protocol Suite Local Area Networks Business Data Communications for67757_fm.fm Page iii Saturday‚ January 7‚ 2006 12:00 AM DATA COMMUNICATIONS AND NETWORKING Fourth Edition Behrouz A. Forouzan DeAnza College with
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Mojave Desert Organisms * Planate (Vegetation) – Brittle Bush‚ California Juniper‚ Creosote Bush‚ Common Saltbush‚ Joshua Tree‚ Mojave Aster‚ and Triangle-leaf Bursage * Animalia (Animals) – Mammals include coyote‚ desert bighorn sheep‚ desert kit fox‚ spotted skunk‚ spotted bat‚ black-tailed jackrabbit‚ ground squirrels‚ kangaroo rat and white-footed mouse. Birds include eagles‚ hawks‚ owls‚ quail‚ roadrunners‚ finches‚ warblers and
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ASSIGNMENT 1 Submission date 14th November 2014 Where to start? The following text describes the working life of five successful individuals with high levels of job satisfaction. You are asked to read this text and then discuss five questions presented in a table immediately after. You will find each of the assignment questions that you need to address on the left column‚ and the instructions to answer each question on the right column. READ this very carefully as these instructions give
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Flow Measuring (Short Report) Student Name: XXX Group Members: XXX School of Engineering Taylor’s University Date of Experiment: | Report due date: | Report submission date: | Checked by: | Item/marks | | Format/10 | | Abstract and Introduction/10 | | Figures and Diagrams/15 | | Materials and Method/10 | | Results Discussions/45 | | References/10 | | Total | | Malaysia 14 May 2013 Table of Contents ABSTRACT
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paper offers a brief explanation of the types of fallacies of an argument and an in-depth focus on logical fallacies. This paper will also identify four education-related examples of logical fallacies as well as discussions from each example on how they represent flawed interpretations that facilitate sensible arguments to others. Explanation of Logical Fallacies in Education Research shows that logical fallacies are observed in arguments through three categories: as material content‚ through misstatement
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measures widely used to measure complexity in manufacturing systems. With reference to this second framework‚ two indexes were selected (static and dynamic complexity index) and a Business Dynamic model was developed. This model was used with empirical data collected in a job shop manufacturing system in order to test the usefulness and validity of the dynamic complex index. The Business Dynamic model analyzed the trend of the index in function of different inputs in a selected work center. The results
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Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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managers are confronted with dynamic and complex supply chains and therefore with trends and developments that are hard to predict. In years to come‚ supply chain management will therefore take on additional strategic tasks that extend beyond its current more operational scope of activity. In order to respond to these changes and remain competitive‚ supply chain managers need to be able to identify and understand new sustainability issues in their company and business environment. This calls‚
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